A Neural Network Blind Multi-user Detection Algorithm

被引：2
|
作者：
Li He [1 ]
机构：
[1] Taiyuan Univ Technol, Coll Technol, Taiyuan, Peoples R China
来源：
2009 INTERNATIONAL CONFERENCE ON MEASURING TECHNOLOGY AND MECHATRONICS AUTOMATION, VOL II | 2009年
关键词：
blind multi-user detection algorithm; neural network; cost function;
D O I：
10.1109/ICMTMA.2009.92
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
This paper proposed a blind multi-user detection algorithm based on neural network. The constant modulus cost function was constructed and cost function with restricted condition was optimized by augmented Lagrange method. Iterative formula of neural network weight and parameters were deduced by Least Mean Square. Blind multi-user detection can be realized by iterative functions of neural network. Simulation indicates the new algorithm improves the ability of anti-MAI., reduces error rate, and speeds up convergence rate.
引用
收藏
页码：467 / 470
页数：4
相关论文
共 50 条
  • [1] Novel neural network blind multi-user detection algorithm
    Shen Fang
    Sun Yunshan
    Zhang Liyi
    Li Yanqin
    Li He
    ICIEA 2007: 2ND IEEE CONFERENCE ON INDUSTRIAL ELECTRONICS AND APPLICATIONS, VOLS 1-4, PROCEEDINGS, 2007, : 1547 - +
  • [2] Quantum neural network for CDMA multi-user detection
    Li, F
    Zhao, SM
    Zheng, BY
    ADVANCES IN NEURAL NETWORKS - ISNN 2005, PT 3, PROCEEDINGS, 2005, 3498 : 338 - 342
  • [3] The neural network multi-user detection based on MMSE
    Li, Yanpin
    Peng, Jisheng
    Wang, Huakui
    2008 7TH WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION, VOLS 1-23, 2008, : 5896 - 5900
  • [4] Optimized blind multi-user detection algorithm based on PASTd
    Department of Information and Communication Engineering, Taiyuan University of Technology, Taiyuan 030024, China
    J. Inf. Comput. Sci., 2008, 4 (1835-1841):
  • [5] Robust blind multi-user detection
    Pei, Qing-Qi
    Dai, Jin-Xiu
    Fan, Ke-Feng
    Ma, Jian-Feng
    Jiangsu Daxue Xuebao (Ziran Kexue Ban) / Journal of Jiangsu University (Natural Science Edition), 2007, 28 (04): : 345 - 349
  • [6] Optimal Hopfield Neural Network and Application for Multi-User Detection
    Wang Hongbin
    Zhang Li-yi
    PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON COMMUNICATION SOFTWARE AND NETWORKS, 2009, : 567 - +
  • [7] Application of a genetic algorithm to Hopfield network multi-user detection
    Zhang, Y
    Liu, HL
    Kuang, F
    Chen, J
    2005 INTERNATIONAL CONFERENCE ON WIRELESS COMMUNICATIONS, NETWORKING AND MOBILE COMPUTING PROCEEDINGS, VOLS 1 AND 2, 2005, : 644 - 647
  • [8] Multi-User Secure Receiving Algorithm Based on Blind Recovery in MIMO Network
    An, Yongli
    Zhang, Chengming
    Ji, Zhanlin
    Zhou, Zhichao
    IEEE ACCESS, 2021, 9 : 45347 - 45355
  • [9] A modified blind MMSE multi-user detection algorithm based on subspace tracking
    Jia, Liqin
    Peng, Chengzhang
    2007 IEEE INTERNATIONAL CONFERENCE ON INTEGRATION TECHNOLOGY, PROCEEDINGS, 2007, : 805 - +
  • [10] Bayesian Blind Detection Algorithm Based on Multi-User Serial Interference Cancellation
    Wu Q.
    Si Z.
    Dai J.
    Wang S.
    Yuan Y.
    Beijing Youdian Daxue Xuebao/Journal of Beijing University of Posts and Telecommunications, 2024, 47 (01): : 1 - 6and37
12345